Detection of strangers based on dogs sound
- Title
- Detection of strangers based on dogs sound
- Creator
- John A.R.; Anita H.B.
- Description
- Nowadays, people having a pet at home are increasing. Usually, dog is the favorite pet animal for most of the people in the world. Dogs are more capable of identifying strangers in the surroundings than humans. The proposed work identifies the strangers based on the barking sound of the dog. In this anticipated work, multiple features are extracted from the dogs barking sound using Fast Fourier Transform and Statistical based methods. The classification is done using Nae Bayes classifier. The dataset contains 770 barking audio files of 8 dogs. Whenever known and unknown person comes home, the sounds of the dogs are recorded. The classification result for identifying the stranger is 79.1094%. BEIESP.
- Source
- International Journal of Innovative Technology and Exploring Engineering, Vol-8, No. 6, pp. 111-114.
- Date
- 2019-01-01
- Publisher
- Blue Eyes Intelligence Engineering and Sciences Publication
- Subject
- Autocorrelation; Fast fourier transform (FFT); NavieBayes; Sound classification
- Coverage
- John A.R., Christ (Deemed to be University), Bangalore, India; Anita H.B., Christ (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 22783075
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
John A.R.; Anita H.B., “Detection of strangers based on dogs sound,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/16726.